I may not understand what you are asking, Rich, but I'm not sure I agree with Alan. A Gaussian fit to data x should fit exactly as well as data fit to ax, a > 0, just with a variance a^2 times the original. The only way this would not be true is if:
1. You are not fitting the variance, but only the mean 2. There's some numerical issue (like some of the data are represented as integers, etc.) Don't know if it could be one of those issues... --Hoyt On Mon, Apr 28, 2008 at 7:18 AM, Alan G Isaac <[EMAIL PROTECTED]> wrote: > Hi Rich, > > If your data is truncated at zero, it is not Gaussian (drawn > from a normal). You will notice this when you shrink the > range of values (unless the variance is tiny). > > Cheers, > Alan Isaac > > > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > -- +++++++++++++++++++++++++++++++++++ Hoyt Koepke UBC Department of Computer Science http://www.cs.ubc.ca/~hoytak/ [EMAIL PROTECTED] +++++++++++++++++++++++++++++++++++ _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
